Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 683 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 46 |
| Duplicate rows (%) | 6.7% |
| Total size in memory | 53.5 KiB |
| Average record size in memory | 80.2 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 1 |
| Dataset has 46 (6.7%) duplicate rows | Duplicates |
Clump Thickness is highly correlated with Uniformity of Cell Size and 7 other fields | High correlation |
Uniformity of Cell Size is highly correlated with Clump Thickness and 8 other fields | High correlation |
Uniformity of Cell Shape is highly correlated with Clump Thickness and 7 other fields | High correlation |
Marginal Adhesion is highly correlated with Clump Thickness and 7 other fields | High correlation |
Single Epithelial Cell Size is highly correlated with Clump Thickness and 7 other fields | High correlation |
Bare Nuclei is highly correlated with Clump Thickness and 7 other fields | High correlation |
Bland Chromatin is highly correlated with Clump Thickness and 7 other fields | High correlation |
Normal Nucleoli is highly correlated with Clump Thickness and 8 other fields | High correlation |
Mitoses is highly correlated with Uniformity of Cell Size and 2 other fields | High correlation |
Class is highly correlated with Clump Thickness and 8 other fields | High correlation |
Clump Thickness is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Uniformity of Cell Size is highly correlated with Clump Thickness and 7 other fields | High correlation |
Uniformity of Cell Shape is highly correlated with Clump Thickness and 7 other fields | High correlation |
Marginal Adhesion is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Single Epithelial Cell Size is highly correlated with Clump Thickness and 7 other fields | High correlation |
Bare Nuclei is highly correlated with Clump Thickness and 7 other fields | High correlation |
Bland Chromatin is highly correlated with Clump Thickness and 7 other fields | High correlation |
Normal Nucleoli is highly correlated with Clump Thickness and 7 other fields | High correlation |
Class is highly correlated with Clump Thickness and 7 other fields | High correlation |
Clump Thickness is highly correlated with Uniformity of Cell Size and 2 other fields | High correlation |
Uniformity of Cell Size is highly correlated with Clump Thickness and 7 other fields | High correlation |
Uniformity of Cell Shape is highly correlated with Clump Thickness and 7 other fields | High correlation |
Marginal Adhesion is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Single Epithelial Cell Size is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Bare Nuclei is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Bland Chromatin is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Normal Nucleoli is highly correlated with Uniformity of Cell Size and 6 other fields | High correlation |
Mitoses is highly correlated with Class | High correlation |
Class is highly correlated with Clump Thickness and 8 other fields | High correlation |
Clump Thickness is highly correlated with Uniformity of Cell Size and 7 other fields | High correlation |
Uniformity of Cell Size is highly correlated with Clump Thickness and 7 other fields | High correlation |
Uniformity of Cell Shape is highly correlated with Clump Thickness and 7 other fields | High correlation |
Marginal Adhesion is highly correlated with Clump Thickness and 7 other fields | High correlation |
Single Epithelial Cell Size is highly correlated with Clump Thickness and 8 other fields | High correlation |
Bare Nuclei is highly correlated with Clump Thickness and 7 other fields | High correlation |
Bland Chromatin is highly correlated with Clump Thickness and 7 other fields | High correlation |
Normal Nucleoli is highly correlated with Clump Thickness and 7 other fields | High correlation |
Mitoses is highly correlated with Single Epithelial Cell Size and 1 other fields | High correlation |
Class is highly correlated with Clump Thickness and 8 other fields | High correlation |
Reproduction
| Analysis started | 2022-10-10 16:52:57.545908 |
|---|---|
| Analysis finished | 2022-10-10 16:53:03.798586 |
| Duration | 6.25 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
Clump Thickness
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.442166911 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.820761319 |
|---|---|
| Coefficient of variation (CV) | 0.6349966977 |
| Kurtosis | -0.6331245309 |
| Mean | 4.442166911 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.5876542361 |
| Sum | 3034 |
| Variance | 7.956694418 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 139 | |
| 5 | 128 | |
| 3 | 104 | |
| 4 | 79 | |
| 10 | 69 | |
| 2 | 50 | 7.3% |
| 8 | 44 | 6.4% |
| 6 | 33 | 4.8% |
| 7 | 23 | 3.4% |
| 9 | 14 | 2.0% |
| Value | Count | Frequency (%) |
| 1 | 139 | |
| 2 | 50 | 7.3% |
| 3 | 104 | |
| 4 | 79 | |
| 5 | 128 | |
| 6 | 33 | 4.8% |
| 7 | 23 | 3.4% |
| 8 | 44 | 6.4% |
| 9 | 14 | 2.0% |
| 10 | 69 |
| Value | Count | Frequency (%) |
| 10 | 69 | |
| 9 | 14 | 2.0% |
| 8 | 44 | 6.4% |
| 7 | 23 | 3.4% |
| 6 | 33 | 4.8% |
| 5 | 128 | |
| 4 | 79 | |
| 3 | 104 | |
| 2 | 50 | 7.3% |
| 1 | 139 |
Uniformity of Cell Size
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.150805271 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.065144856 |
|---|---|
| Coefficient of variation (CV) | 0.9728131675 |
| Kurtosis | 0.0736791399 |
| Mean | 3.150805271 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.226404096 |
| Sum | 2152 |
| Variance | 9.395112987 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 373 | |
| 10 | 67 | 9.8% |
| 3 | 52 | 7.6% |
| 2 | 45 | 6.6% |
| 4 | 38 | 5.6% |
| 5 | 30 | 4.4% |
| 8 | 28 | 4.1% |
| 6 | 25 | 3.7% |
| 7 | 19 | 2.8% |
| 9 | 6 | 0.9% |
| Value | Count | Frequency (%) |
| 1 | 373 | |
| 2 | 45 | 6.6% |
| 3 | 52 | 7.6% |
| 4 | 38 | 5.6% |
| 5 | 30 | 4.4% |
| 6 | 25 | 3.7% |
| 7 | 19 | 2.8% |
| 8 | 28 | 4.1% |
| 9 | 6 | 0.9% |
| 10 | 67 | 9.8% |
| Value | Count | Frequency (%) |
| 10 | 67 | 9.8% |
| 9 | 6 | 0.9% |
| 8 | 28 | 4.1% |
| 7 | 19 | 2.8% |
| 6 | 25 | 3.7% |
| 5 | 30 | 4.4% |
| 4 | 38 | 5.6% |
| 3 | 52 | 7.6% |
| 2 | 45 | 6.6% |
| 1 | 373 |
Uniformity of Cell Shape
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.21522694 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.988580818 |
|---|---|
| Coefficient of variation (CV) | 0.929508515 |
| Kurtosis | -0.01681562061 |
| Mean | 3.21522694 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.157890012 |
| Sum | 2196 |
| Variance | 8.931615308 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 346 | |
| 10 | 58 | 8.5% |
| 2 | 58 | 8.5% |
| 3 | 53 | 7.8% |
| 4 | 43 | 6.3% |
| 5 | 32 | 4.7% |
| 7 | 30 | 4.4% |
| 6 | 29 | 4.2% |
| 8 | 27 | 4.0% |
| 9 | 7 | 1.0% |
| Value | Count | Frequency (%) |
| 1 | 346 | |
| 2 | 58 | 8.5% |
| 3 | 53 | 7.8% |
| 4 | 43 | 6.3% |
| 5 | 32 | 4.7% |
| 6 | 29 | 4.2% |
| 7 | 30 | 4.4% |
| 8 | 27 | 4.0% |
| 9 | 7 | 1.0% |
| 10 | 58 | 8.5% |
| Value | Count | Frequency (%) |
| 10 | 58 | 8.5% |
| 9 | 7 | 1.0% |
| 8 | 27 | 4.0% |
| 7 | 30 | 4.4% |
| 6 | 29 | 4.2% |
| 5 | 32 | 4.7% |
| 4 | 43 | 6.3% |
| 3 | 53 | 7.8% |
| 2 | 58 | 8.5% |
| 1 | 346 |
Marginal Adhesion
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.830161054 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.86456219 |
|---|---|
| Coefficient of variation (CV) | 1.012155187 |
| Kurtosis | 0.9424072094 |
| Mean | 2.830161054 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.509181064 |
| Sum | 1933 |
| Variance | 8.205716543 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 393 | |
| 3 | 58 | 8.5% |
| 2 | 58 | 8.5% |
| 10 | 55 | 8.1% |
| 4 | 33 | 4.8% |
| 8 | 25 | 3.7% |
| 5 | 23 | 3.4% |
| 6 | 21 | 3.1% |
| 7 | 13 | 1.9% |
| 9 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 1 | 393 | |
| 2 | 58 | 8.5% |
| 3 | 58 | 8.5% |
| 4 | 33 | 4.8% |
| 5 | 23 | 3.4% |
| 6 | 21 | 3.1% |
| 7 | 13 | 1.9% |
| 8 | 25 | 3.7% |
| 9 | 4 | 0.6% |
| 10 | 55 | 8.1% |
| Value | Count | Frequency (%) |
| 10 | 55 | 8.1% |
| 9 | 4 | 0.6% |
| 8 | 25 | 3.7% |
| 7 | 13 | 1.9% |
| 6 | 21 | 3.1% |
| 5 | 23 | 3.4% |
| 4 | 33 | 4.8% |
| 3 | 58 | 8.5% |
| 2 | 58 | 8.5% |
| 1 | 393 |
Single Epithelial Cell Size
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.234260615 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.223085456 |
|---|---|
| Coefficient of variation (CV) | 0.6873550777 |
| Kurtosis | 2.129639279 |
| Mean | 3.234260615 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.703716401 |
| Sum | 2209 |
| Variance | 4.942108947 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 2 | 376 | |
| 3 | 71 | 10.4% |
| 4 | 48 | 7.0% |
| 1 | 44 | 6.4% |
| 6 | 40 | 5.9% |
| 5 | 39 | 5.7% |
| 10 | 31 | 4.5% |
| 8 | 21 | 3.1% |
| 7 | 11 | 1.6% |
| 9 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 1 | 44 | 6.4% |
| 2 | 376 | |
| 3 | 71 | 10.4% |
| 4 | 48 | 7.0% |
| 5 | 39 | 5.7% |
| 6 | 40 | 5.9% |
| 7 | 11 | 1.6% |
| 8 | 21 | 3.1% |
| 9 | 2 | 0.3% |
| 10 | 31 | 4.5% |
| Value | Count | Frequency (%) |
| 10 | 31 | 4.5% |
| 9 | 2 | 0.3% |
| 8 | 21 | 3.1% |
| 7 | 11 | 1.6% |
| 6 | 40 | 5.9% |
| 5 | 39 | 5.7% |
| 4 | 48 | 7.0% |
| 3 | 71 | 10.4% |
| 2 | 376 | |
| 1 | 44 | 6.4% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.54465593 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.64385716 |
|---|---|
| Coefficient of variation (CV) | 1.027986138 |
| Kurtosis | -0.7988441354 |
| Mean | 3.54465593 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.9900156547 |
| Sum | 2421 |
| Variance | 13.27769501 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 402 | |
| 10 | 132 | 19.3% |
| 2 | 30 | 4.4% |
| 5 | 30 | 4.4% |
| 3 | 28 | 4.1% |
| 8 | 21 | 3.1% |
| 4 | 19 | 2.8% |
| 9 | 9 | 1.3% |
| 7 | 8 | 1.2% |
| 6 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 1 | 402 | |
| 2 | 30 | 4.4% |
| 3 | 28 | 4.1% |
| 4 | 19 | 2.8% |
| 5 | 30 | 4.4% |
| 6 | 4 | 0.6% |
| 7 | 8 | 1.2% |
| 8 | 21 | 3.1% |
| 9 | 9 | 1.3% |
| 10 | 132 | 19.3% |
| Value | Count | Frequency (%) |
| 10 | 132 | 19.3% |
| 9 | 9 | 1.3% |
| 8 | 21 | 3.1% |
| 7 | 8 | 1.2% |
| 6 | 4 | 0.6% |
| 5 | 30 | 4.4% |
| 4 | 19 | 2.8% |
| 3 | 28 | 4.1% |
| 2 | 30 | 4.4% |
| 1 | 402 |
Bland Chromatin
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.445095168 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.449696573 |
|---|---|
| Coefficient of variation (CV) | 0.7110678959 |
| Kurtosis | 0.1676456428 |
| Mean | 3.445095168 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.095270469 |
| Sum | 2353 |
| Variance | 6.001013297 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 3 | 161 | |
| 2 | 160 | |
| 1 | 150 | |
| 7 | 71 | |
| 4 | 39 | 5.7% |
| 5 | 34 | 5.0% |
| 8 | 28 | 4.1% |
| 10 | 20 | 2.9% |
| 9 | 11 | 1.6% |
| 6 | 9 | 1.3% |
| Value | Count | Frequency (%) |
| 1 | 150 | |
| 2 | 160 | |
| 3 | 161 | |
| 4 | 39 | 5.7% |
| 5 | 34 | 5.0% |
| 6 | 9 | 1.3% |
| 7 | 71 | |
| 8 | 28 | 4.1% |
| 9 | 11 | 1.6% |
| 10 | 20 | 2.9% |
| Value | Count | Frequency (%) |
| 10 | 20 | 2.9% |
| 9 | 11 | 1.6% |
| 8 | 28 | 4.1% |
| 7 | 71 | |
| 6 | 9 | 1.3% |
| 5 | 34 | 5.0% |
| 4 | 39 | 5.7% |
| 3 | 161 | |
| 2 | 160 | |
| 1 | 150 |
Normal Nucleoli
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 10 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.869692533 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.052666407 |
|---|---|
| Coefficient of variation (CV) | 1.063760794 |
| Kurtosis | 0.4735882982 |
| Mean | 2.869692533 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.420431124 |
| Sum | 1960 |
| Variance | 9.318772193 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 432 | |
| 10 | 60 | 8.8% |
| 3 | 42 | 6.1% |
| 2 | 36 | 5.3% |
| 8 | 23 | 3.4% |
| 6 | 22 | 3.2% |
| 5 | 19 | 2.8% |
| 4 | 18 | 2.6% |
| 7 | 16 | 2.3% |
| 9 | 15 | 2.2% |
| Value | Count | Frequency (%) |
| 1 | 432 | |
| 2 | 36 | 5.3% |
| 3 | 42 | 6.1% |
| 4 | 18 | 2.6% |
| 5 | 19 | 2.8% |
| 6 | 22 | 3.2% |
| 7 | 16 | 2.3% |
| 8 | 23 | 3.4% |
| 9 | 15 | 2.2% |
| 10 | 60 | 8.8% |
| Value | Count | Frequency (%) |
| 10 | 60 | 8.8% |
| 9 | 15 | 2.2% |
| 8 | 23 | 3.4% |
| 7 | 16 | 2.3% |
| 6 | 22 | 3.2% |
| 5 | 19 | 2.8% |
| 4 | 18 | 2.6% |
| 3 | 42 | 6.1% |
| 2 | 36 | 5.3% |
| 1 | 432 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.603221083 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 5 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.732674146 |
|---|---|
| Coefficient of variation (CV) | 1.080745609 |
| Kurtosis | 12.27337364 |
| Mean | 1.603221083 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.511476241 |
| Sum | 1095 |
| Variance | 3.002159697 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 1 | 563 | |
| 2 | 35 | 5.1% |
| 3 | 33 | 4.8% |
| 10 | 14 | 2.0% |
| 4 | 12 | 1.8% |
| 7 | 9 | 1.3% |
| 8 | 8 | 1.2% |
| 5 | 6 | 0.9% |
| 6 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 1 | 563 | |
| 2 | 35 | 5.1% |
| 3 | 33 | 4.8% |
| 4 | 12 | 1.8% |
| 5 | 6 | 0.9% |
| 6 | 3 | 0.4% |
| 7 | 9 | 1.3% |
| 8 | 8 | 1.2% |
| 10 | 14 | 2.0% |
| Value | Count | Frequency (%) |
| 10 | 14 | 2.0% |
| 8 | 8 | 1.2% |
| 7 | 9 | 1.3% |
| 6 | 3 | 0.4% |
| 5 | 6 | 0.9% |
| 4 | 12 | 1.8% |
| 3 | 33 | 4.8% |
| 2 | 35 | 5.1% |
| 1 | 563 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.5 KiB |
| 2 | |
|---|---|
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 683 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 444 | |
| 4 | 239 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 2 | 444 | |
| 4 | 239 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 444 | |
| 4 | 239 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 683 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 444 | |
| 4 | 239 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 683 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 444 | |
| 4 | 239 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 683 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 444 | |
| 4 | 239 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Clump Thickness | Uniformity of Cell Size | Uniformity of Cell Shape | Marginal Adhesion | Single Epithelial Cell Size | Bare Nuclei | Bland Chromatin | Normal Nucleoli | Mitoses | Class | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 1 | 2 |
| 1 | 5 | 4 | 4 | 5 | 7 | 10 | 3 | 2 | 1 | 2 |
| 2 | 3 | 1 | 1 | 1 | 2 | 2 | 3 | 1 | 1 | 2 |
| 3 | 6 | 8 | 8 | 1 | 3 | 4 | 3 | 7 | 1 | 2 |
| 4 | 4 | 1 | 1 | 3 | 2 | 1 | 3 | 1 | 1 | 2 |
| 5 | 8 | 10 | 10 | 8 | 7 | 10 | 9 | 7 | 1 | 4 |
| 6 | 1 | 1 | 1 | 1 | 2 | 10 | 3 | 1 | 1 | 2 |
| 7 | 2 | 1 | 2 | 1 | 2 | 1 | 3 | 1 | 1 | 2 |
| 8 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 5 | 2 |
| 9 | 4 | 2 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 2 |
Last rows
| Clump Thickness | Uniformity of Cell Size | Uniformity of Cell Shape | Marginal Adhesion | Single Epithelial Cell Size | Bare Nuclei | Bland Chromatin | Normal Nucleoli | Mitoses | Class | |
|---|---|---|---|---|---|---|---|---|---|---|
| 673 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 8 | 2 |
| 674 | 1 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 1 | 2 |
| 675 | 5 | 10 | 10 | 5 | 4 | 5 | 4 | 4 | 1 | 4 |
| 676 | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 |
| 677 | 3 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 |
| 678 | 3 | 1 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 2 |
| 679 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 |
| 680 | 5 | 10 | 10 | 3 | 7 | 3 | 8 | 10 | 2 | 4 |
| 681 | 4 | 8 | 6 | 4 | 3 | 4 | 10 | 6 | 1 | 4 |
| 682 | 4 | 8 | 8 | 5 | 4 | 5 | 10 | 4 | 1 | 4 |
Most frequently occurring
| Clump Thickness | Uniformity of Cell Size | Uniformity of Cell Shape | Marginal Adhesion | Single Epithelial Cell Size | Bare Nuclei | Bland Chromatin | Normal Nucleoli | Mitoses | Class | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 27 |
| 5 | 1 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 1 | 2 | 23 |
| 4 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 2 | 21 |
| 19 | 3 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 2 | 20 |
| 18 | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 12 |
| 12 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 10 |
| 20 | 3 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 1 | 2 | 10 |
| 26 | 4 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 10 |
| 27 | 4 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 2 | 10 |
| 35 | 5 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 2 | 10 |